SOTAVerified

Semi-Supervised Video Object Segmentation

The semi-supervised scenario assumes the user inputs a full mask of the object(s) of interest in the first frame of a video sequence. Methods have to produce the segmentation mask for that object(s) in the subsequent frames.

Papers

Showing 51100 of 147 papers

TitleStatusHype
Learning Video Object Segmentation from Unlabeled VideosCode1
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object SegmentationCode1
Learning What to Learn for Video Object SegmentationCode1
Lester: rotoscope animation through video object segmentation and trackingCode1
LiVOS: Light Video Object Segmentation with Gated Linear MatchingCode1
SSTVOS: Sparse Spatiotemporal Transformers for Video Object SegmentationCode1
YouTube-VOS: Sequence-to-Sequence Video Object SegmentationCode1
Make One-Shot Video Object Segmentation Efficient AgainCode1
MAST: A Memory-Augmented Self-supervised TrackerCode1
Self-Supervised Video Object Segmentation by Motion-Aware Mask PropagationCode1
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object SegmentationCode1
Reliable Propagation-Correction Modulation for Video Object SegmentationCode1
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware FusionCode1
Recurrent Dynamic Embedding for Video Object SegmentationCode1
One-Shot Video Object SegmentationCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
Siamese Network with Interactive Transformer for Video Object SegmentationCode0
Adaptive Memory Management for Video Object SegmentationCode0
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningCode0
A Generative Appearance Model for End-to-end Video Object SegmentationCode0
AGSS-VOS: Attention Guided Single-Shot Video Object SegmentationCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Boosting Video Object Segmentation based on Scale InconsistencyCode0
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting FramesCode0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
CRVOS: Clue Refining Network for Video Object SegmentationCode0
DMM-Net: Differentiable Mask-Matching Network for Video Object SegmentationCode0
Efficient Video Object Segmentation via Network ModulationCode0
Fast and Accurate Online Video Object Segmentation via Tracking PartsCode0
Fast Video Object Segmentation by Reference-Guided Mask PropagationCode0
FEELVOS: Fast End-to-End Embedding Learning for Video Object SegmentationCode0
Joint-task Self-supervised Learning for Temporal CorrespondenceCode0
Learning Correspondence from the Cycle-Consistency of TimeCode0
Learning Video Object Segmentation from Static ImagesCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
Lucid Data Dreaming for Video Object SegmentationCode0
PReMVOS: Proposal-generation, Refinement and Merging for Video Object SegmentationCode0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
RANet: Ranking Attention Network for Fast Video Object SegmentationCode0
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object SegmentationCode0
RVOS: End-to-End Recurrent Network for Video Object SegmentationCode0
SegFlow: Joint Learning for Video Object Segmentation and Optical FlowCode0
Self-supervised Learning for Video Correspondence FlowCode0
Self-supervised Video Object SegmentationCode0
Separable Structure Modeling for Semi-supervised Video Object SegmentationCode0
MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
Spatiotemporal CNN for Video Object SegmentationCode0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2J&F90.7Unverified
2Cutie+ (base)J&F90.5Unverified
3ISVOS (BL30K, MS)J&F89.8Unverified
4XMem (BL30K, MS)J&F89.5Unverified
5ISVOS (MS)J&F88.6Unverified
6ISVOS (BL30K)J&F88.2Unverified
7XMem (MS)J&F88.2Unverified
8JIMDJ&F88.1Unverified
9Cutie+ (base, MEGA)J&F88.1Unverified
10Cutie (base)J&F87.9Unverified
#ModelMetricClaimedVerifiedStatus
1SwinB-AOTv2-L (MS)J&F93Unverified
2SwinB-AOST (L'=3, MS)J&F93Unverified
3SwinB-DeAOT-LJ&F92.9Unverified
4XMem (MS)J&F92.7Unverified
5SwinB-AOST (L'=3)J&F92.4Unverified
6SwinB-AOTv2-LJ&F92.4Unverified
7R50-DeAOT-LJ&F92.3Unverified
8R50-AOST (L'=3)J&F92.1Unverified
9SwinB-AOT-LJ&F92Unverified
10XMem (BL30K)J&F92Unverified
#ModelMetricClaimedVerifiedStatus
1Cutie+ (base, MEGA)J&F88.1Unverified
2Cutie (base, MEGA)J&F86.1Unverified
3Cutie+ (base)J&F85.9Unverified
4SwinB-AOST (L'=3, MS)J&F84.7Unverified
5SwinB-AOTv2-LJ&F84.5Unverified
6JIMD-R50J&F83.9Unverified
7XMem (BL30K, MS)J&F83.7Unverified
8DEVAJ&F83.2Unverified
9XMem (MS)J&F83.1Unverified
10SwinB-DeAOT-LJ&F82.8Unverified